Sahar Da’as

1.3k citations
41 papers · 910 · h-index 15

Impact in

    • Zebrafish Biomedical Research Applications
  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Mast cells and histamine

Papers in

Sahar Da’as

40 papers receiving 887 citations

Peers

Sahar Da’as
Comparison fields: 5 of 103
  • Cell Biology 219
  • Immunology 206
  • Health, Toxicology and Mutagenesis 135
  • Cancer Research 81
  • Drug Discovery 1
Replace Qingshun Zhao with:
Qingshun Zhao China
Wei Shen China
Yi‐Liang Miao China
Chang‐Jen Huang Taiwan
Nicole A. Ducharme United States
Yanling Wang United States
Bo‐Woong Sim South Korea
Sergio Barni Italy
Weiwei Song China
Shota Sasagawa Japan
Sahar Da’as relative to Qingshun Zhao China Qingshun Zhao's profile →
Citations per field
00.5×1.5×
Qingshun Zhao · 1×
Citations per year

Countries citing papers authored by Sahar Da’as

Since Specialization
Citations

This map shows the geographic impact of Sahar Da’as's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sahar Da’as with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sahar Da’as more than expected).

Fields of papers citing papers by Sahar Da’as

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sahar Da’as. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sahar Da’as. The network helps show where Sahar Da’as may publish in the future.

Co-authors

The 25 scholars most cited alongside Sahar Da’as, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sahar Da’as Line = papers co-authored together Sahar Da’as links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001142
2 2018115
3 2008103
4 2018102
5 201161
6 201050
7 200349
8 201230
9 202127
10 202020
11 202018
12 201618
13 201918
14 201417
15 202016
16 201613
17 201912
18 200911
19 201810
20 202110

About Sahar Da’as

Sahar Da’as is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Immunology and Health, Toxicology and Mutagenesis, having authored 41 papers that have together received 910 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (13 papers), Congenital heart defects research (10 papers), Cardiomyopathy and Myosin Studies (10 papers), Mast cells and histamine (5 papers), Cardiovascular Effects of Exercise (5 papers), Environmental Toxicology and Ecotoxicology (3 papers), Environmental Chemistry and Analysis (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cell Biology (219 citations), Immunology (206 citations), Health, Toxicology and Mutagenesis (135 citations), Cancer Research (81 citations) and Drug Discovery (1 citation). Sahar Da’as has collaborated with scholars based in Qatar, United States and Canada. Frequent co-authors include Gheyath K. Nasrallah, Homa Darmani, A. Elbetieha, Jason N. Berman, Balsam Rizeq, Ahmed Elbetieha, Nadin Younes, Evelyn Teh, Tong‐Jun Lin and Huseyin C. Yalcin. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Cellular Physiology, Scientific Reports and International Journal of Molecular Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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